KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/kmitl/1

Browse

Search Results

Now showing 1 - 9 of 9

Some of the metrics are blocked by your
consent settings
The Development of Enteral Feeding for Home-Use Patients
(2025-01-01)
Laokor, Patipan
;
Suksawat, Dusit
;
Wanluk, Nutthanan
;
Thanarak, Jeerawan
;
Chompoo-Inwai, Chai
With the rising number of bedridden patients, affordable and accessible enteral feeding solutions are urgently needed. The high costs of imported feeding systems remain a burden for caregivers, especially in developing regions. This study presents the development of a cost-effective enteral feeding controller that utilizes a unique four-lobe camshaft mechanism, compatible with locally manufactured feeding bags. The redesigned mechanical structure focuses on simplifying the feeding operation while reducing overall device weight. The upgraded electronic control system, combined with a TFT LCD touchscreen, enhances usability. Performance testing demonstrated consistent flow rate accuracy at various levels and showcased the mechanical efficiency of the camshaft-driven feeding system. The successful outcomes of this project have led to commercial interest from a domestic medical device manufacturer, indicating readiness for standardization and mass production.
3
Some of the metrics are blocked by your
consent settings
AI-Enhanced Driver Fatigue Detection Through Multi-Parameter Analysis: Integration of Radar-Based Heart Rate Monitoring and Deep Learning Techniques
(2025-01-01)
Pairoch, Sathit
;
Pavitpok, Siwagorn
;
Wanluk, Nutthanan
;
Phasukkit, Pattarapong
This research presents an innovative transportation safety system integrating millimeter-wave radar sensing with artificial intelligence. Our approach employs the MR60BHA1 radar sensor mounted behind the driver's seat to non-intrusively monitor vital signs, combined with deep learning algorithms that analyze correlations between heart rate variability, respiratory patterns, body movements, and environmental factors. Trained on Thailand's first comprehensive driver fatigue database, our custom neural network architecture achieved 97.5% detection accuracy, significantly outperforming traditional single parameter monitoring approaches. The research contributes three key innovations: (1) a novel deep learning framework optimized for Thai driving conditions that correlates multiple radar-derived physiological parameters; (2) an adaptive feature extraction algorithm that identifies and weights the most significant fatigue indicators based on individual characteristics and local contexts; and (3) a comprehensive multiparameter database incorporating synchronized measurements calibrated for various Thai driving environments. This culturally adaptive monitoring technology establishes a new paradigm for intelligent transportation systems particularly suited for tropical regions.
Some of the metrics are blocked by your
consent settings
Detection and Classification of COVID-19 Chest X-rays by the Deep Learning Technique
(2022-01-01)
Sonarra, Wannika
;
Vongmanee, Naphatsawan
;
Wanluk, Nutthanan
;
Pintavirooj, Chuchat
;
Visitsattapongse, Sarinporn
The Coronavirus disease (COVID-19) infection has become a pandemic, and this is the most critical problem that has occurred in Thailand and also expanded all over the world. As such, it is not astonishing to know that this virus has had a direct effect on hospitals with the delayed screening of patients because of the increasing number of daily cases and the shortage of medical personnel and restricted treatment space. Due to such restrictions, in this study, we used a clinical decision-making system with predictive algorithms. Predictive algorithms could potentially ease the strain on healthcare systems by identifying the diseases. Moreover, image classification is one interesting aspect of image processing. Convolutional neural network (CNN) is a widely used algorithm for image classification by separating the images of the COVID-19 disease, images with a lung infection, and normal images. To evaluate the predictive performance of our models, precision, F1-score, recall, receiver operating characteristic (ROC) curve (area under the ROC curve), and accuracy scores were used. It was observed that the predictive models trained on the laboratory findings could be used to predict the COVID-19 infection as well and could be helpful for medical experts to appropriately prioritize the resources. This could be employed to assist medical experts in validating their initial laboratory findings and could also be used for clinical prediction studies.
Some of the metrics are blocked by your
consent settings
Prototype-Wearable Device for Detecting Extravasation Using Temperature Sensor and IOT Monitoring System
(2022-01-01)
Petranon, Niti
;
Vongmanee, Naphatsawan
;
Wanluk, Nutthanan
;
Pintavirooj, Chuchart
Infusion Therapy is one of the main treatments today. The Infusion Therapy can be faulty, causing the solution to leak into the surrounding area and potentially damaging the surrounding tissue, known as extravasation. In clinical practice, the medical staff is responsible for checking the status of the intravenous solution. But the leakage of the intravenous solution is difficult to detect with the naked eye. in this study We therefore offer a device for detecting intravenous fluid leaks using temperature detection. and designed the device to look like a wristwatch to reduce the worry of patients wearing it. The device simulates the occurrence of intravenous fluid leaks to simulate the occurrence of Extravasation We also use IOT Monitoring using the Blynk Platform as a model to record and assist medical staff in early detection of intravenous fluid leaks to prevent potential hazards.
Some of the metrics are blocked by your
consent settings
Prototype of Wearable Device for Blood Pressure using Pulse Transit Time
(2021-01-01)
Bunkum, Manao
;
Wanluk, Nutthanan
;
Visitsattapongse, Sarinporn
At present, there is a continuous increase in the number of patients suffering from hypertension in Thailand. and resulted in higher mortality rates as well. with an increasing trend every year Some people with high blood pressure need medication and regular monitoring of their blood pressure to prevent further complications. Most of these are pressure gauges that require a cuff that is wrapped around a patient's upper arm, wrist, or thigh. which is not convenient to carry for patients who need to measure blood pressure regularly This research proposes a prototype of a wearable device for measuring blood pressure using Pulse Transit Time (PTT) by measuring the pulse between the wrist and the index finger of the other hand. and take the pulse movement time to calculate the blood pressure Based on the results of testing prototypes of wearable devices for measuring pressure compared to commercially available pressure gauges. Of the five participants, the prototype of a wearable device for measuring pressure was approximately 94% accurate compared to commercially available pressure gauges. The prototype device can measure blood pressure in real time and is always portable.
Some of the metrics are blocked by your
consent settings
Prototype Modeling of Bed for Bedridden Patients
(2019-01-10)
Bunkum, Manao
;
Reanaree, Parkbhum
;
Wanluk, Nutthanan
;
Visitsattapongse, Sarinporn
One of the most common health risks for bedridden patient is a pressure sore or decubitus ulcers. Pressure sore developed in people who are not able to move or lying in the same position for a long period of time. To solve this problem, a caregiver must change the patient's position every two hours if possible. In addition, the caregiver already has many kinds of care work to assist the patient such as changing clothes, administering medicine, daily health checking etc. This paper presented a design model of the bed used for bedridden patients, including paralysis, individuals with impaired mobility, and the elderly. The bed consists of an automatic bed lift control system and a patient monitoring system. The bed can change the patient's position in left or right tilt by lifting the left or right side of the bed up automatically. The system came with a graphic user interface to communicate with the caregiver or physician. The patient monitoring system including, the heart rate monitor, the body temperature monitor and the blood pressure monitor which are then sent to a home or hospital server. All data can then be remotely monitored by caretaker or physician. The proposed of the bed is designed to better assist the daily life of bedridden patients and caregivers.
Some of the metrics are blocked by your
consent settings
Image Processing for X-ray Calibration Phantom
(2019-01-10)
Wanluk, Nutthanan
;
Pintavirooj, C.
;
Treebupachatsakul, T.
Medical device calibration is the process of ensuring that there is accuracy before using. X-ray imaging device is one of the high-risk medical devices that must be calibrated. The calibration process required these values to be measured; center ray, focal object distance (FOD), resolution, and linearity of the imaging system. But the devices used to measure each of these are expensive. In this paper, a design of the x-ray calibration phantom that is affordable and yet effective is presented. An aluminum rectangular phantom consists of a center ray calibration unit, focal object distance (FOD) calibration unit and Linearity calibration unit. The x-ray image of all the phantom unit can be analyzed automatically by using the digital image processing.
Some of the metrics are blocked by your
consent settings
Focal spot, focal object distance and exposure time
(2017-12-19)
Wanluk, Nutthanan
;
Pintavirooj, C.
X-ray calibration tool for central point, focal-object distance and exposure time is proposed in this paper. To calibrate for central point and focal-object distance, a metal hollow cylindrical phantom is designed. The phantom will be placed in x-ray beam with central point is at the central-ray marker of the x-ray apparatus. The acquire x-ray imaging is then processed with image processing to determine the central point and focal-object distance. To measure an exposure time, a step-down transformer with bridge full-wave rectifier circuit is used to bypass the primary side of high-tension transformer. The signal is then analyzed to count number of full-wave x-ray pulse which can be converted to exposure time.
Some of the metrics are blocked by your
consent settings
Smart wheelchair based on eye tracking
(2017-02-21)
Wanluk, Nutthanan
;
Visitsattapongse, Sarinporn
;
Juhong, Aniwat
;
Pintavirooj, C.
This project is a smart wheelchair based on eye tracking which is designed for people with locomotor disabilities. The add-on controlled module can be used with any electrical wheelchair. The smart wheel chair consists of four modules including imaging processing module, wheelchair-controlled module, SMS manager module and appliance-controlled module. The image processing module comprises of a webcam installed on the eyeglass and C++ customized image processing software. The captured image which is transmitted to raspberry Pi microcontroller will be processed using OpenCV to derive the 2D direction of eye ball. The coordinate of eyeball movement is then wirelessly transmitted to wheelchair-controlled module to control the movement of wheel chair. The wheelchair-controlled module is two dimensional rotating stages that installed to the joystick of the electrical wheelchair to replace the manual control of the wheelchair. The motion of eyeball is also used as the cursor control on the raspberry Pi screen to control the operation of some equipped appliance and send message to smart phone.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results